score {transx} | R Documentation |
These functions calculate the scores according to:
score_z
: Normal(z) distribution
score_mad
: Mean absolute deviation
score_t
: t-distribution
score_chi
: chi-distribution
score_z(x, na.rm = getOption("transx.na.rm"))
score_mad(x, na.rm = getOption("transx.na.rm"))
score_t(x, na.rm = getOption("transx.na.rm"))
score_chisq(x, na.rm = getOption("transx.na.rm"))
x |
Univariate vector, numeric or ts object with only one dimension. |
na.rm |
A value indicating whether NA values should be stripped before the computation proceeds. |
Because function are known with different names:
score_z
is identical to std_mean
score_mad
is identical to std_median
Returns a vector with the same class and attributes as the input vector.
x <- seq(-3,3,0.5)
score_z(x)
score_mad(x)
score_t(x)